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Post Doctoral Researcher
- Science Park 3 - 4 - S3 402
- +43 732 2468 4712
- +43 732 2468 4705
- hamid.eghbal-zadeh(at)jku.at
Curriculum Vitae
For the latest publications and updated news about my research, please visit my personal website, opens an external URL in a new window.
Research
- Adversarial Machine Learning
- Representation Learning
- Learning under Distribution Mismatch
- Generative Models
- Acoustic Scene Analysis
Publications
Please visit my Google Scholar, opens an external URL in a new window page.
Awards
Co-author of the best student paper at DCASE 2019 workshop (Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification).
[link, opens an external URL in a new window] [report, opens an external URL in a new window]
Team member at the CP.JKU team achieving the 1st place at the MediaEval 2019 (Emotion and Themes Recognition in Music). [link, opens an external URL in a new window] [report, opens an external URL in a new window]
Team member at the CP.JKU team achieving the 3rd place at the DCASE 2019 Acoustic Event Detection and Classification Challenge Task1.B (Acoustic Scene Classification under Distribution Mismatch). [link, opens an external URL in a new window] [report, opens an external URL in a new window]
Team member at the CP.JKU team achieving the 3rd place at the DCASE 2018 Acoustic Event Detection and Classification Challenge Task1.A (Acoustic Scene Classification).
[link, opens an external URL in a new window] [report, opens an external URL in a new window]
Team member at the CP.JKU team achieving the 4th place at the DCASE 2017 Acoustic Event Detection and Classification Challenge Task1 (Acoustic Scene Classification).
[link, opens an external URL in a new window] [report, opens an external URL in a new window]
Leading member at the CP.JKU team achieving the 1st place at the DCASE 2016 Acoustic Event Detection and Classification Challenge Task1 (Acoustic Scene Classification).
[link, opens an external URL in a new window] [report, opens an external URL in a new window]
Advised Students
Fabian Paischer: Improving Generalization of Deep Convolutional Neural Networks for Acoustic Scene Classification.
Khaled Koutini: Large-Scale Weakly Supervised Sound Event Detection For Smart Cars.
Paul Primus: Gradient-Based Explanations for Audio Classifiers.
William Freilinger: Ongoing.
Sebastian Zapletal: Ongoing
Khaled Koutini: Ongoing.
